Agglomerative clustering

Agglomerative clustering is a method of grouping similar items together by starting with each item as its own group. It then repeatedly merges the two most similar groups until all items are combined into a single cluster or a desired number of clusters is achieved. Think of it like gradually forming communities by joining the most compatible individuals step-by-step. This technique helps identify natural groupings in data, making patterns or structures easier to understand without predefined categories. It’s commonly used in fields like data analysis, pattern recognition, and bioinformatics.